Changkun Ye

13 papers A* 3A 1B 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
Enhancing Features in Long-tailed Data Using Large Vision Model.
IJCNN
Pengxiao Han, Changkun Ye, Jinguang Tong, Cuicui Jiang, Jie Hong, Li Fang, Xuesong Li
2025 J jnl
Enhancing Features in Long-tailed Data Using Large Vision Model.
CoRR
Pengxiao Han, Changkun Ye, Jinguang Tong, Cuicui Jiang, Jie Hong, Li Fang, Xuesong Li
2025 A* conf
Open Set Label Shift with Test Time Out-of-Distribution Reference.
CVPR
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2025 J jnl
Open Set Label Shift with Test Time Out-of-Distribution Reference.
CoRR
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2024 A conf
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach.
WACV
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
2024 — conf
Latent-based Diffusion Model for Long-tailed Recognition.
CVPR Workshops
Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li
2024 J jnl
Latent-based Diffusion Model for Long-tailed Recognition.
CoRR
Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li
2024 A* conf
Self-Calibrating Vicinal Risk Minimisation for Model Calibration.
CVPR
Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes
2023 A* conf
Model Calibration in Dense Classification with Adaptive Label Perturbation.
ICCV
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
2023 J jnl
Model Calibration in Dense Classification with Adaptive Label Perturbation.
CoRR
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
2022 B conf
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning.
ICPR
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2022 J jnl
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning.
CoRR
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
2017 — conf
Survival-Oriented Reinforcement Learning Model: An Effcient and Robust Deep Reinforcement Learning Algorithm for Autonomous Driving Problem.
ICIG (2)
Changkun Ye, Huimin Ma, Xiaoqin Zhang, Kai Zhang, Shaodi You